The Role of CD14 in Neutrophil Recruitment within the Liver Microcirculation during Endotoxemia
Bibliographic record
Abstract
During Gram-negative sepsis and endotoxemia, CD14 is essential for the recognition of LPS by the TLR4 complex and subsequent generation of systemic inflammation. However, CD14-independent responses to LPS have been reported in vitro and in vivo in selected tissues including the skin. As the liver is a key target organ for neutrophil sequestration and inflammatory pathology during sepsis and endotoxemia, we investigated the role of CD14 in the recruitment of neutrophils into the liver in a mouse model of endotoxemia. Using dynamic in vivo imaging of the liver, we observed that neutrophil recruitment within the sinusoids and post-sinusoidal venules occurred equivalently between LPS-treated wild-type and CD14-knockout mice. Neutrophil recruitment within the liver was completely independent of CD14 regardless of whether it was expressed on cells of hematopoietic or nonhematopoietic origin or in serum as soluble CD14. Whereas CD14 expression was essential for activation of circulating neutrophils and for the development of LPS-induced systemic inflammation (pulmonary neutrophil sequestration, leukopenia, and increased serum proinflammatory cytokine levels), deficiency of CD14 did not limit the adhesion strength of neutrophils in vitro. Furthermore, wild-type and CD14-knockout mice displayed identical deposition of serum-derived hyaluronan-associated protein within liver sinusoids in response to LPS, indicating that the sinusoid-specific CD44/hyaluronan/serum-derived hyaluronan-associated protein-dependent pathway of neutrophil adhesion is activated independently of CD14. Therefore, the liver microcirculation possesses a unique CD14-independent mechanism of LPS detection and activation of neutrophil recruitment.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".